Purpose: To validate the performance of the Notal OCT Analyzer (NOA) in processing self-administered OCT images from an OCT system designed for home use (home OCT [HOCT]) as part of a pivotal study aimed at achieving de novo United States Food and Drug Admininstration marketing authorization.

Design: A prospective quantitative cross-sectional artificial intelligence study.

Participants: The study enrolled adults aged ≥55 years diagnosed with neovascular age-related macular degeneration (nAMD) in ≥1 eligible eye with a best-corrected visual acuity of 20/320 or better.

Methods: Participants self-imaged 4 times on each of 2 HOCT devices and once with an in-office OCT (IO-OCT) device during a single visit. Scans were segmented by the NOA and human graders at a certified reading center (RC).

Main Outcome Measures: Intradevice and interdevice repeatability and reproducibility of total retinal hyporeflective (TRO) volume estimation by the NOA on HOCT-acquired images as compared with that of RC graders on IO-OCT-acquired images. Additionally, to assess the performance of the NOA in segmentation of TRO over multiple B-scans as compared with RC graders.

Results: Self-imaging was performed successfully by 387 participants in 2451 of 2616 attempts (93.7%). For repeatability, the coefficient of variance for NOA was 11.1% for eyes with >10 volume units of TRO imaged with HOCT compared with 16.4% for RC graders segmenting IO-OCT images. The median DICE similarity coefficients for segmentation of TRO by NOA vs. Grader 1, Grader 2, and Grader 3; Grader 1 vs. Grader 2 and Grader 3; and Grader 2 vs. Grader 3 were 0.68, 0.68, 0.61, 0.72, 0.63, 0.70, respectively.

Conclusions: The performance of NOA supports the intended use of the system as a tool to monitor TRO at home between routine clinical visits in support of the management of nAMD.

Financial Disclosures: Proprietary or commercial disclosure may be found in the Footnotes and Disclosures at the end of this article.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11731483PMC
http://dx.doi.org/10.1016/j.xops.2024.100662DOI Listing

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